TY - GEN
T1 - Detection and tracking of a UAV via hough transform
AU - Zhou, Chao
AU - Liu, Yang
AU - Song, Yuanyuan
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/10/4
Y1 - 2017/10/4
N2 - Unmanned aerial vehicle (UAV) is a typical low altitude, slow and small (LSS) target. To detect and track this kind of target, a high resolution radar is usually used. In high resolution radar tracking algorithm, scatterers clustering is a key process which has a significant impact on the final performance. However, the lack of theoretical principle for clustering threshold has long been a problem. In this paper, a method based on Hough transform was proposed to improve the detection and tracking performance. By making use of the linear distributed micro Doppler features, the method is able to detect and recognize a UAV simultaneously, thus reduce the limitations on scatterers clustering. Experiment results show that the method can track a UAV continuously and steadily, and improve the tracking accuracy.
AB - Unmanned aerial vehicle (UAV) is a typical low altitude, slow and small (LSS) target. To detect and track this kind of target, a high resolution radar is usually used. In high resolution radar tracking algorithm, scatterers clustering is a key process which has a significant impact on the final performance. However, the lack of theoretical principle for clustering threshold has long been a problem. In this paper, a method based on Hough transform was proposed to improve the detection and tracking performance. By making use of the linear distributed micro Doppler features, the method is able to detect and recognize a UAV simultaneously, thus reduce the limitations on scatterers clustering. Experiment results show that the method can track a UAV continuously and steadily, and improve the tracking accuracy.
KW - Hough transform
KW - Slow small and low targets
KW - Target tracking
KW - Unmanned aerial vehicle
UR - http://www.scopus.com/inward/record.url?scp=85034644250&partnerID=8YFLogxK
U2 - 10.1109/RADAR.2016.8059453
DO - 10.1109/RADAR.2016.8059453
M3 - Conference contribution
AN - SCOPUS:85034644250
T3 - 2016 CIE International Conference on Radar, RADAR 2016
BT - 2016 CIE International Conference on Radar, RADAR 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2016 CIE International Conference on Radar, RADAR 2016
Y2 - 10 October 2016 through 13 October 2016
ER -